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[Perf] support Eplb for deepseek v3 #14544
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👋 Hi! Thank you for contributing to the vLLM project. 💬 Join our developer Slack at https://slack.vllm.ai to discuss your PR in #pr-reviews, coordinate on features in #feat- channels, or join special interest groups in #sig- channels. Just a reminder: PRs would not trigger full CI run by default. Instead, it would only run Once the PR is approved and ready to go, your PR reviewer(s) can run CI to test the changes comprehensively before merging. To run CI, PR reviewers can either: Add 🚀 |
Signed-off-by: ifromeast <[email protected]>
Signed-off-by: ifromeast <[email protected]>
Signed-off-by: ifromeast <[email protected]>
Signed-off-by: ifromeast <[email protected]>
Signed-off-by: ifromeast <[email protected]>
Signed-off-by: ifromeast <[email protected]>
code format Signed-off-by: ifromeast <[email protected]>
Signed-off-by: ifromeast <[email protected]>
Signed-off-by: ifromeast <[email protected]>
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Why did this job stop? Will it be restarted? |
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Hi @liweiqing1997, I’m currently working on EPLB, please take a look at #18343 |
This PR is to integrate EPLB into vllm, not just map experts according to ranks.
we can get prior expert map as following:
weightof shape[layers, experts].weightand GPUs, and get prior expert map of shape[layers, ranks, experts]by